In this episode, Katherine Forrest and Scott Caravello unpack OpenAI researchers’ proposed “confessions” framework designed to monitor for and detect dishonest outputs. They break down the researchers’ proof of concept results and the framework’s resilience to reward hacking, along with its limits in connection with hallucinations. Then they turn to Google DeepMind’s “Distributional AGI Safety,” exploring a hypothetical path to AGI via a patchwork of agents and routing infrastructure, as well as the authors’ proposed four layer safety stack.

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In this episode, Katherine Forrest and Scott Caravello kick off 2026 with predictions on humanoid robots, agentic AI and the legal flashpoints to watch. They break down the AI infrastructure boom and unpack the line between acqui-hire and acquisition. Our hosts also spotlight OpenAI’s Disney licensing for Sora and the rights issues behind AI-generated “behind-the-scenes” clips, foreshadowing a deeper conversation to come.

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In this episode, Katherine Forrest and Scott Caravello unpack how regulators are thinking about AI in the financial sector. Joined by Paul, Weiss colleagues Roberto Gonzalez and Sam Kleiner of the firm’s Economic Sanctions and Anti-Money Laundering (“AML”) practice group, they explore the Financial Stability Oversight Council’s initiatives on AI, the Office of the Comptroller of the Currency’s model risk management guidance, FinCEN’s position on AI tools for AML compliance, and how financial institutions are utilizing AI in their compliance programs. This is both the first episode of the new year and the first in the podcast’s history to feature guests—kicking off 2026 with fresh perspectives on AI for financial institutions and key regulatory trends that banks should keep in mind.

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In their first episode of the New Year, Katherine Forrest and Scott Caravello unpack OpenAI’s release of GPT-5.2, covering its performance on benchmarks like Humanity’s Last Exam and on OpenAI’s own GDPval—an evaluation designed to test the model's ability to match or surpass professionals' performance on real world tasks. Our hosts also examine the model’s sharp drop in hallucinations and break down OpenAI’s discussion of the model’s resistance to prompt injections and how it stacks up under the company’s safety framework.

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In this episode, Katherine Forrest and Scott Caravello examine how deepfakes have evolved from static clips to adaptive, real-time impersonation driven by identity engines and behavioral replication. They explain why sensor-consistent forensics are being spoofed, the implications of the zero-trust evidence era for courts and companies, and how regulators and insurers are responding—plus concrete steps on provenance controls and incident response.

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In this episode, Katherine Forrest and Scott Caravello return to their discussion of interactive deepfakes, highlighting state-of-the-art detection tools and techniques. From research frameworks such as the “GOTCHA” challenge and “active probing” via corneal reflections to commercial tools that can be integrated into popular video conferencing apps, they debrief the evolving tech landscape for spotting deepfakes.

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In this episode, Katherine Forrest and Scott Caravello unpack the White House’s December 11 Executive Order on AI regulation—and how it might impact today’s patchwork of state-level rules. They cover three major levers in the Executive Order: a new DOJ Litigation Task Force to challenge state laws; eligibility for broadband funding tied to a state’s AI regulatory landscape; and potential preemption through new FCC disclosure standards and under the FTC’s Section 5 authority. Along the way, they demystify preemption and the Dormant Commerce Clause.  Amid lighthearted debates over proper pronunciation—and what may or may not have been covered in their 1L Constitutional Law courses—our hosts let listeners know what to watch for as courts, agencies, and Congress gear up for potential challenges to state AI laws.

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In this episode, Katherine Forrest and Scott Caravello unpack Google’s Gemini 3.0—its leading reported score on key benchmarks like Humanity’s Last Exam, how its sparse mixture-of-experts architecture works, and the model’s rapid integration into Google products and platforms. Plus, a discussion of Google’s new image generation model, Nano Banana Pro.

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In this episode, Katherine Forrest and Scott Caravello explore the White House’s push to override state AI laws and unpack a wave of lawsuits claiming modern AI-powered tracking tools violate the decades-old Video Privacy Protection Act—all while sharing travel tales (and cheese-pie cravings) from Serbia.

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Katherine Forrest and Scott Caravello unpack the litigation in Thaler v. Perlmutter over whether purely AI-generated works can be copyrighted and analyze the Getty v. Stability ruling in the UK on AI model training and copyright infringement.

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